Date of Award
2023
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical and Computer Engineering
Committee Chair
Aubrey Beal
Committee Member
Laurie Joiner
Committee Member
Maria Pour
Committee Member
Ned Corron
Committee Member
Sivaguru Ravindran
Subject(s)
Chaotic behavior in systems, Signal processing--Mathematics, Joint sonar-communication (SonComm) system
Abstract
An ever increasing number of actively interconnected wireless devices tend to exert congestion on the naturally limited resources provided by the electromagnetic spectrum. This fact imposes a significant engineering challenge on efficient utilization of communication channels. One method to lessen the stringency of the spectrum access is to combine functionality of wireless applications via jointly operational (multi-purpose) waveforms. Solvable chaos was previously shown to have inherent detection benefits when used independently in practical demonstrations of either acoustic ranging or communication. This dissertation focuses on the design of a joint sonar-communication (SonComm) system via solvable chaotic waveforms. First, individual hardware demonstrations that enable the advancement of a joint implementation are presented. These individual demonstrations include i) a study on using solvable chaos as a tool to evaluate a matched filter receiver performance, ii) experimental synchronization of solvable chaos which promotes its potential use in communication, clock recovery, etc., and iii) demonstration of a successful acoustic ranging system using a reduced hardware sonar. The latter part of this dissertation focuses on the implementation of a joint SonComm system. Since solvable chaotic waveforms can act as a source of binary information, their use for SonComm application is highlighted. Finally, the design and experimental validation of the joint SonComm system is presented as a demonstration of the dual purpose of ranging and communication using a single source of solvable chaotic waveforms.
Recommended Citation
Syed, Tamseel Mahmood, "Joint sonar and communication (SonComm) system using solvable chaos" (2023). Dissertations. 361.
https://louis.uah.edu/uah-dissertations/361